Abstract
Precisely capturing context is a fundamental first step in dealing with built environments. Previous research has demonstrated that existing methods for generating as-is floor plans of non-orthogonal rooms by non-expert users do not produce geometrically accurate results. The present paper proposes the adaptation of empirical triangulation methods, traditionally used by architects and other building professionals in surveying building interiors, to the development of semi-automated workflow of room survey. A set of triangulation algorithms that automate the plan drawing stage are presented.
Highlights
Architects and other building professionals are increasingly working on interactive digital representations of objects through information modelling software that gives prominence to the collaborative and decision-making aspects of the design process (Carpo 2011; Marble 2012)
The present paper proposes the adaptation of empirical triangulation methods, traditionally used by architects and other building professionals in surveying building interiors, to the development of semi-automated workflow of room survey
The present paper was developed in the context of research on a demountable and mass customizable construction system of partition walls for building renovation by building owners
Summary
Architects and other building professionals are increasingly working on interactive digital representations of objects through information modelling software that gives prominence to the collaborative and decision-making aspects of the design process (Carpo 2011; Marble 2012). The present paper was developed in the context of research on a demountable and mass customizable construction system of partition walls for building renovation by building owners It is composed of a construction system, a parametric model for digital design and fabrication and a graphical user interface. In orthogonal spaces, measuring the perimeter of the space and registering the turn, left or right, at each corner is enough to accurately reconstruct the space Several commercial applications, such as Magicplan (IOS 12.1, version 7.2.2) and RoomScan (IOS 12), leverage these empiric methods to provide semi-automated workflows for generating as-is models onsite involving user interaction, smartphone sensors and camera. The hypothesis is that their processes can be captured in a digital workflow, that users can execute them on their own, and that the result produced is a sufficiently accurate parametric model of the surveyed space for further design steps (Fig. 1).This problem is similar to the classical art gallery problem (AGP) (de Berg et al 2008; de Rezende et al 2014), albeit with a significant difference, the actual geometry of the polygon is undefined a priori, triangulations are a means to define the polygon, i.e., close it
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